Ontology highlight
ABSTRACT:
PROVIDER: PRJNA511719 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Coal Gasification Wastewater Raw sequence reads
| PRJNA281978 | ENA
Project description:Coal tar pitch (CTP) is a byproduct of cooking process which is used in making coatings, corrosion protection materials, and electrode. and it has been verified that Coal tar pitch extract (CTPE) constitutes polycyclic aromatic hydrocarbons (PAHs) (87.91%) and monocyclic aromatic hydrocarbons, heterocyclic compounds and alkenes (the remaining total is 12.09%) using gas chromatography/mass spectrometry (GC/MS). In this study, we determine the lncRNA expression profile in CTPE group and control group. The key lncRNAs were screen out by using microarray analysis in defferent group.
2022-07-08 | GSE134069 | GEO
Project description:Coal tar pitch (CTP) is a byproduct of cooking process which is used in making coatings, corrosion protection materials, and electrode. and it has been verified that Coal tar pitch extract (CTPE) constitutes polycyclic aromatic hydrocarbons (PAHs) (87.91%) and monocyclic aromatic hydrocarbons, heterocyclic compounds and alkenes (the remaining total is 12.09%) using gas chromatography/mass spectrometry (GC/MS). In this study, we determine the lncRNA expression profile in CTPE group and control group. The key lncRNAs were screen out by using microarray analysis in defferent group. The experiment is divided into two groups: 22RV1 cells as control group, 22RV1 cells induced with Robustanoids A. then perform lncRNAs chips by Arraystar Human lncRNAs chip (Arraystar).
2021-07-24 | GSE180612 | GEO
Project description:Our study revealed a synergistic effect between biological nitrogen fixation and current generation by G. sulfurreducens, providing a green nitrogen fixation alternative through shifting the nitrogen fixation field from energy consumption to energy production and having implications for N-deficient wastewater treatment.
2021-10-09 | GSE185414 | GEO
Project description:Understanding microbial community diversity is thought to be crucial for improving process functioning and stabilities of wastewater treatment systems. However, current studies largely focus on taxonomic groups based on 16S rRNA, which are not necessarily linked to functioning, or a few selected functional genes. Here we launched a study to profile the overall functional genes of microbial communities in three full-scale wastewater treatment systems. Triplicate activated sludge samples from each system were analyzed using a high-throughput metagenomics tool named GeoChip 4.2, resulting in the detection of 38,507 to 40,647 functional genes. A high similarity of 75.5% to 79.7% shared genes was noted among the nine samples. Moreover, correlation analyses showed that the abundances of a wide array of functional genes were associated with system performances. For example, the abundances of overall nitrogen cycling genes had a strong correlation to total nitrogen (TN) removal rates (r = 0.7647, P < 0.01). The abundances of overall carbon cycling genes were moderately correlated with COD removal rates (r = 0.6515, P < 0.01). Lastly, we found that influent chemical oxygen demand (COD inf) and total phosphorus concentrations (TP inf), and dissolved oxygen (DO) concentrations were key environmental factors shaping the overall functional genes. Together, the results revealed vast functional gene diversity and some links between the functional gene compositions and microbe-mediated processes.
2014-12-31 | GSE53744 | GEO
Project description:The ammonia-oxidizing bacterium Nitrosomonas europaea has been widely recognized as an important player in the nitrogen cycle as well as one of the most abundant members in microbial communities for the treatment of industrial or sewage wastewater. Its natural metabolic versatility and extraordinary ability to degrade environmental pollutants enable it to thrive under various harsh environmental conditions. This model of N. europaea (iGC535) is the most accurate metabolic model for a nitrifying organism to date, reaching an average prediction accuracy of over 90% under several growth conditions. The manually curated model can predict phenotypes under chemolithotrophic and chemolithoorganotrophic conditions while oxidating methane and wastewater pollutants.
It is the first upload of the model.
2024-09-02 | BIOMD0000001061 | BioModels
Project description:Bio-augmentation could be a promising strategy to improve processes for treatment and resource recovery from wastewater. In this study, the Gram-positive bacterium Bacillus subtilis was co-cultured with the microbial communities present in wastewater samples with high concentrations of nitrate or ammonium. Glucose supplementation (1%) was used to boost biomass growth in all wastewater samples. In anaerobic conditions, the indigenous microbial community bio-augmented with B. subtilis was able to rapidly remove nitrate from wastewater. In these conditions, B. subtilis overexpressed nitrogen assimilatory and respiratory genes including NasD, NasE, NarG, NarH, and NarI, which arguably accounted for the observed boost in denitrification. Next, we attempted to use the the ammonium- and nitrate-enriched wastewater samples bio-augmented with B. subtilis in the cathodic compartment of bioelectrochemical systems (BES) operated in anaerobic condition. B. subtilis only had low relative abundance in the microbial community, but bio-augmentation promoted the growth of Clostridium butyricum and C. beijerinckii, which became the dominant species. Both bio-augmentation with B. subtilis and electrical current from the cathode in the BES promoted butyrate production during fermentation of glucose. A concentration of 3.4 g/L butyrate was reached with a combination of cathodic current and bio-augmentation in ammonium-enriched wastewater. With nitrate-enriched wastewater, the BES effectively removed nitrate reaching 3.2 mg/L after 48 h. In addition, 3.9 g/L butyrate was produced. We propose that bio-augmentation of wastewater with B. subtilis in combination with bioelectrochemical processes could both boost denitrification in nitrate-containing wastewater and enable commercial production of butyrate from carbohydrate- containing wastewater, e.g. dairy industry discharges. These results suggest that B. subtilis bio-augmentation in our BES promotes simultaneous wastewater treatment and butyrate production.
2020-05-15 | GSE150480 | GEO